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Wai-Ki Ching & Michael K. Ng 
Markov Chains: Models, Algorithms and Applications 

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Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models.


Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.

€129.99
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Inhaltsverzeichnis

Queueing Systems and the Web.- Re-manufacturing Systems.- Hidden Markov Model for Customers Classification.- Markov Decision Process for Customer Lifetime Value.- Higher-order Markov Chains.- Multivariate Markov Chains.- Hidden Markov Chains.
Sprache Englisch ● Format PDF ● Seiten 208 ● ISBN 9780387293370 ● Dateigröße 2.2 MB ● Verlag Springer US ● Ort NY ● Land US ● Erscheinungsjahr 2006 ● herunterladbar 24 Monate ● Währung EUR ● ID 2144564 ● Kopierschutz Soziales DRM

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